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<h2> 多个回归方程 </h2>
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<tr><td> Outcome</td><td>Non-adjusted </td><td>Adjust I</td><td>Adjust II </td></tr> <tr><td> AFT</td><td>-0.04 (-0.08, 0.01) 0.1394</td><td>-0.01 (-0.06, 0.03) 0.5110</td><td>-0.00 (-0.05, 0.04) 0.9099 </td></tr> <tr><td> DSST</td><td>-0.18 (-0.33, -0.04) 0.0151</td><td>-0.09 (-0.22, 0.03) 0.1482</td><td>-0.06 (-0.17, 0.05) 0.2761 </td></tr> <tr><td> CERAD</td><td>-0.12 (-0.18, -0.07) <0.0001</td><td>-0.11 (-0.16, -0.05) <0.0001</td><td>-0.11 (-0.16, -0.05) 0.0001 </td></tr>
</table>
</br>表中数据：
β (95%CI) Pvalue / OR (95%CI) Pvalue
</br>结果变量: AFT; DSST; CERAD
</br>暴露变量: DPQ
</br> Non-adjusted  model adjust for: None
</br> Adjust I model adjust for: AGE; RACE; GENDER
</br> Adjust II model adjust for: EDUCATION; MARITAL; PIR; GENDER; AGE; RACE; BMI; CORONARY; BP; STROKE
</br></br>各模型所用的样本量</br><table border=3>
<tr><td> Outcome</td><td>Exposure</td><td>Non-adjusted </td><td>Adjust I</td><td>Adjust II </td></tr> <tr><td> AFT</td><td>DPQ</td><td>2623</td><td>2623</td><td>2371 </td></tr> <tr><td> DSST</td><td>DPQ</td><td>2623</td><td>2623</td><td>2371 </td></tr> <tr><td> CERAD</td><td>DPQ</td><td>2623</td><td>2623</td><td>2371 </td></tr>
</table>

</br>此表用易侕统计软件 (www.empowerstats.com) 和R软件生成，生成日期： 2024-12-05
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